Evidence map›Paper›PMID 15128451›Full record

ArticleGenome biology2004

Genome2D: a visualization tool for the rapid analysis of bacterial transcriptome data.

Richard J S Baerends, Wiep Klaas Smits, Anne de Jong, Leendert W Hamoen, Jan Kok, Oscar P Kuipers

Abstract read
In one paragraph

Article in Genome biology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

72 citing papers in PubMed.

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  9. Nitric Oxide Production and Effects in Group BPathogens (Basel, Switzerland) · 2022
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  19. Article
  20. Identification and Characterization of Preferred DNA-Binding Sites for theInternational journal of molecular sciences · 2019
    Article

12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Richard J S BaerendsMolecular Genetics, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Kerklaan 30, 9751 NN Haren, The Netherlands.
Wiep Klaas Smits
Anne de Jong
Leendert W Hamoen
Jan Kok
Oscar P Kuipers

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome2D is a Windows-based software tool for visualization of bacterial transcriptome and customized datasets on linear chromosome maps constructed from annotated genome sequences. Genome2D facilitates the analysis of transcriptome data by using different color ranges to depict differences in gene-expression levels on a genome map. Such output format enables visual inspection of the transcriptome data, and will quickly reveal transcriptional units, without prior knowledge of expression level cutoff values. The compiled version of Genome2D is freely available for academic or non-profit use from http://molgen.biol.rug.nl/molgen/research/molgensoftware.php.

Indexed as

Computer GraphicsSoftwareBacterial ProteinsDNA-Binding ProteinsGene Expression Regulation, BacterialImage Processing, Computer-AssistedLactococcus lactisPredictive Value of TestsRegulonRepressor ProteinsTranscription, GeneticBacterial Proteinscatabolite control proteins, bacteriaDNA-Binding ProteinsRepressor Proteins

Identifiers

PMID15128451
PMCPMC416473

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.